Stochastic methodology for estimation of the potential and depleted yield in corn

Abstract

The objective of this research was to compare four methodologies of parameters simulation used in the corn potential and depleted yield in Rio Grande do Sul State. Had been used the daily mean air temperature, isolation and rain precipitation of sixteen localities of the Rio Grande do Sul State, as changeable of entrance in the modified model of the agroecological zone considered by De Wit. The data base was formed by 100 simulated values of the variable in each one of the eighth dates proposals (October 1^st, October 11^th, October 21^st, November 1^st, November 11^th, November 21^st, December 1^st, December 11^th). The data had been through four cases of simulation: (i) average insolation and temperature (normal truncated); (ii) average insolation and temperature (triangular non-symmetrical); (iii) average insolation and temperature (triangular symmetrical) e (IV) insolation (triangular symmetrical). To verify was that: (i) the adaptation of the method (considered for De Wit) of the agroecological zone makes possible to define the order of magnitude of the maize potential and depleted productivities, in Rio Grande do Sul State; (ii) the random procedure process an in agreement variability time of sowing and evaluated place; (iii) the procedure (b) average insolation and temperature (triangular anti-symmetrical) and (d) insolation (triangular symmetrical) does not diverge how much the classification, being that the last one overestimates the values of potential and depleted productivity.